Literature DB >> 28931209

Process simulation of ethanol production from biomass gasification and syngas fermentation.

Oscar Pardo-Planas1, Hasan K Atiyeh2, John R Phillips1, Clint P Aichele3, Sayeed Mohammad3.   

Abstract

The hybrid gasification-syngas fermentation platform can produce more bioethanol utilizing all biomass components compared to the biochemical conversion technology. Syngas fermentation operates at mild temperatures and pressures and avoids using expensive pretreatment processes and enzymes. This study presents a new process simulation model developed with Aspen Plus® of a biorefinery based on a hybrid conversion technology for the production of anhydrous ethanol using 1200tons per day (wb) of switchgrass. The simulation model consists of three modules: gasification, fermentation, and product recovery. The results revealed a potential production of about 36.5million gallons of anhydrous ethanol per year. Sensitivity analyses were also performed to investigate the effects of gasification and fermentation parameters that are keys for the development of an efficient process in terms of energy conservation and ethanol production.
Copyright © 2017 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Aspen Plus; Ethanol; Gasification; Process simulation; Syngas fermentation

Mesh:

Substances:

Year:  2017        PMID: 28931209     DOI: 10.1016/j.biortech.2017.08.193

Source DB:  PubMed          Journal:  Bioresour Technol        ISSN: 0960-8524            Impact factor:   9.642


  2 in total

1.  Modeling ethanol production through gas fermentation: a biothermodynamics and mass transfer-based hybrid model for microbial growth in a large-scale bubble column bioreactor.

Authors:  Eduardo Almeida Benalcázar; Henk Noorman; Rubens Maciel Filho; John A Posada
Journal:  Biotechnol Biofuels       Date:  2020-03-27       Impact factor: 6.040

2.  Dynamic modeling of syngas fermentation in a continuous stirred-tank reactor: Multi-response parameter estimation and process optimization.

Authors:  Elisa M de Medeiros; John A Posada; Henk Noorman; Rubens Maciel Filho
Journal:  Biotechnol Bioeng       Date:  2019-07-24       Impact factor: 4.395

  2 in total

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